3 citations · 5 across the 4 of their papers we have counts for
4 papers
An Under-Explored Application for Explainable Multimodal Misogyny Detection in code-mixed Hindi-English
Sargam Yadav, Abhishek Kaushik, Kevin Mc Daid
Digital platforms have an ever-expanding user base, and act as a hub for communication, business, and connectivity. However, this has also allowed for the spread of hate speech and…
Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis
Abhishek Kaushik, Sargam Yadav, Andrew Browne +7
The recent advancements in Generative Artificial intelligence (GenAI) technology have been transformative for the field of education. Large Language Models (LLMs) such as ChatGPT a…
Exploratory Data Analysis on Code-mixed Misogynistic Comments
Sargam Yadav, Abhishek Kaushik, Kevin McDaid
The problems of online hate speech and cyberbullying have significantly worsened since the increase in popularity of social media platforms such as YouTube and Twitter (X). Natural…
Leveraging Weakly Annotated Data for Hate Speech Detection in Code-Mixed Hinglish: A Feasibility-Driven Transfer Learning Approach with Large Language Models
Sargam Yadav, Abhishek Kaushik, Kevin McDaid
The advent of Large Language Models (LLMs) has advanced the benchmark in various Natural Language Processing (NLP) tasks. However, large amounts of labelled training data are requi…